Methods and apparatus for use in computer-to-human escalation

ABSTRACT

A system and method are provided for escalating a user or customer to a live agent from a conversational agent when predetermined criteria are met. The conversational agent textually converses in so-called natural language interaction and can run on a computer, such as a server. Upon receiving a first query, the conversational agent creates a new case, and interacts with the customer, in an attempt to resolve the case and satisfy the user. The predetermined criteria for escalation may include a determination that the conversational agent is unable to satisfy a computer-to-computer information request. Alternatively, the predetermined criteria may include patterns and/or words associated with frustration, for example, and/or unrecognized query subject matter, high priority queries, for example to increase sales, etc.

CROSS REFERENCE TO RELATED APPLICATION

The present application is a continuation of U.S. patent applicationSer. No. 11/088,706, filed on Mar. 24, 2005, which claims the benefit ofU.S. Provisional Patent Application No. 60/556,954, filed on Mar. 26,2004, and is incorporated herein by reference.

BACKGROUND

Traditionally, customer service has been provided over the telephone. Acustomer calls a company, waits on hold for the next available liveagent, and then makes an information request to the live agent. Tohandle the calls, the company sometimes creates a call center staffed bya sufficient number of live agents to maintain hold times at a targetmaximum duration, for example. As the number of calls increases, eitherthe company must hire more live agents, or the hold time increases.

The Internet offers a new vehicle for delivering customer support. Byoffering Internet-based customer service, a company has the potential toincrease service quality, while at the same time reducing customerservice costs. For instance, one known Internet solution connects acustomer to a live agent, and enables the live agent and customer totextually communicate via instant messaging, E-mail, or a browserapplication rather than by telephone. One advantage is that a live agentcan carry on textual conversations with multiple customers at once,thereby improving call center productivity.

In another known customer service model that avoids using a live agent,a customer inputs a query into a browser window in the form of aquestion or a keyword. The customer is then presented with a list ofarticles that might be relevant to the query. One characteristic is thatthe customer must select, such as by clicking on a link, the appropriatearticle from those presented, increasing the burden on the customer, andthereby decreasing the likelihood that the customer will choose to usethis solution.

SUMMARY

The present invention provides systems and methods for escalating a useror customer to a live agent from a conversational agent whenpredetermined criteria are met. The conversational agent, whichtextually converses in so-called natural language interaction in anexemplary embodiment, can run on a computer, such as a server. Uponreceiving a first query, the conversational agent creates a new case,and interacts with the customer, in an attempt to resolve the case andsatisfy the user. In one aspect of the invention, the predeterminedcriteria for escalation include a determination that the conversationalagent is unable to satisfy a computer-to-computer information request.In other aspects of the invention, the predetermined criteria includepatterns and/or words associated with frustration, for example, and/orunrecognized query subject matter, high priority queries, for example toincrease sales, etc.

Interacting with the customer involves receiving inputs from thecustomer and responding appropriately. A response might be a directanswer to a direct question, thereby resolving the case. A responsemight be a request for further information to help categorize the case.In response to the additional information, the response might be ananswer that is formulated, based on the entirety of the interaction thatresolves the case. Sometimes, based on the entirety of the interaction,the conversational agent determines that it is, by itself, unable toresolve the case. In such situations, the conversational agent willrespond to the customer indicating that such a determination has beenmade. The conversational agent then escalates the customer to a liveagent, and optionally forwards to the live agent at least a portion of atranscript of the conversation that has transpired between theconversational agent and the customer. In the event that the live agentreceives at least a portion of the conversation transcript, the liveagent may then review the transcript of the conversation between thecustomer and the conversational agent, and suggest a resolution to thecustomer's case based upon the transcript. One benefit of forwarding atleast a portion of the conversation transcript to the live agent is thatthe customer does not have to repeat their queries to the live agent,since the live agent can understand the customer's case based upon thetranscript.

In one aspect, the invention relates to a method of textually conversingwith a customer to resolve a case. The method includes interacting witha customer and recording a transcript of the textual conversation, theconversation starting when a first query is received. Also included inthe method are the steps of determining whether to send the customer apredetermined response to a query and escalating the customer to a liveagent when sending a predetermined response to a query is determined tobe inappropriate.

In one embodiment, the step of determining whether to send the customera predetermined response includes evaluating whether the customerdesires to converse with a live agent, such as by textual chat, instantmessaging, and/or telephone. The step of determining whether to send thecustomer a predetermined response can also include evaluating whetherthe query matches an existing pattern or whether the customer hasrepeated the query. Escalating the customer to the live agent caninclude allowing the live agent to enter the textual conversation as athird party. In an alternative embodiment, the step of escalating thecustomer to the live agent includes providing the customer withestimated wait times to converse (textually or telephonically) with alive agent, and enabling the customer to select between waiting for thelive agent and being provided with contact information for the liveagent.

In other embodiments, the step of escalating the customer to the liveagent includes providing the customer with a telephone number of thelive agent and/or waiting times before the live agent is available toconverse. Escalating the customer to the live agent can also includereceiving contact information from the customer and forwarding to thelive agent the customer contact information.

In another embodiment, escalating the customer to the live agent furtherincludes determining a category of service required, and escalating thequery to a live agent who specializes in that category.

Escalating the customer to a live agent can include providing the liveagent with at least a portion of the transcript of the textualconversation. The live agent can be provided with the at least a portionof the transcript of the textual conversation prior to the live agentbeing connected with the customer. The method can also includecontinuing to converse with the customer prior to connecting thecustomer with the live agent, giving time for the live agent to reviewthe at least a portion of the transcript of the conversation.

In another embodiment, escalating the customer to the live agentincludes conversing with the customer through at least one of email,telephone, and an on-line conversation. The method can also includeproposing a response to a query to the live agent, the live agentselecting between sending the proposed response to the customer andgenerating a different response to address the customer's query.

In another aspect, the invention relates to a method for obtaining ananswer to a query. The method includes sending a query to aconversational agent, and receiving a response to the query from atleast one of the conversational agent and a live agent. In oneembodiment, the step of sending a query to a conversational agentincludes requesting to converse with the live agent. The method canfurther include providing the conversational agent with contactinformation and/or receiving from the conversational agent contactinformation for the live agent.

In another aspect, the invention relates to a system for responding tocustomer queries. The system includes a first module for receivingtextual queries from a customer. Also included in the system is a secondmodule for storing predetermined responses to customer queries. A thirdmodule may be included for selecting between providing a predeterminedresponse to a customer query and escalating the customer to a liveagent. A fourth module may also be included in the system for recordingthe received queries and the predetermined responses sent to thecustomer.

BRIEF DESCRIPTION OF THE DRAWINGS

The invention will be more fully understood from the following detaileddescription taken in conjunction with the accompanying drawings, inwhich:

FIG. 1 is a block diagram of the system in accordance with oneembodiment the invention;

FIG. 1A is a pictorial representation of a user interface that canprovide case escalation in accordance with the present invention;

FIG. 2 is a block diagram of the server of FIG. 1 in accordance with oneembodiment of the invention; and

FIG. 3 is a block diagram of the server of FIG. 1 in accordance withanother embodiment of the invention.

FIG. 4 is a block diagram of a system providing case escalation thatutilizes a call center;

FIGS. 5A-D are pictorial representations of exemplary dialog between aconversational agent and a user; and

FIG. 6 is a pictorial representation of an exemplary interface for alive agent showing escalated case information.

DETAILED DESCRIPTION

FIG. 1 shows an exemplary embodiment of a system 100 for responding touser or customer textual queries, or more broadly user messages, andselectively providing escalation to a live agent. Escalation occurs whenpredetermined criteria are met. The conversational agent, which caninclude an automated service agent (ASA), responds to user queries in aconversational (natural language) manner in attempt to provide theappropriate information to the customer. If the conversational agent isunable to provide a satisfactory response to the customer, for example,the case can be escalated to the live agent. Unsatisfactory response toa user query can be one of the predetermined criteria for escalation ofthe case. With this arrangement, the dynamic of how customers are servedis enhanced by improving the user experience and giving attention to thetime needs of the user, rather than forcing the customer to push buttonsto navigate to the proper call-center area, then waiting for arepresentative, and the like.

The customer first communicates with a conversational agent by posing atextual query to the conversational agent, thereby starting a case. FIG.1A shows an exemplary window 150 providing an interface to enable a userto type in queries to which the conversational agent can respond andattempt to service the customer request for information. The window 150includes a first portion 152 in which the conversational agent cangenerate text and a second portion 154 in which a customer or user cangenerate textual queries. In an exemplary embodiment, the interactionbetween the client and the conversational agent is ‘conversational’ innature. The client types in queries and the conversational agentprovides textual answers having some similarity to an answer that may beprovided in a verbal conversation. U.S. application Ser. No. 10/227,595,filed on Aug. 23, 2002, which is incorporated herein by reference,discloses an exemplary system having natural language textualinteraction.

The conversational agent is a computer program that evaluates the queryprovided by the customer. As described more fully below, if theconversational agent determines that it is unable to resolve the case orthat the case is best resolved by a live agent, the conversational agentescalates the customer to the live agent. Escalation offers to a liveagent can include telephone calls (in either direction), instantmessages, mobile text messages, and the like. As described below,escalations can interact with a company call-center system, for example,to perform one or more of the following: determine an appropriate agentto route the customer to based upon line of inquiry andareas-of-agent-expertise; inform a customer of estimated time for aresponse from company based on a hold queue in appropriate agent area;and pass potentially relevant information to the call-center system liveagents or other representatives to reduce response pendency time.Illustrative information includes time stamp, reason for escalation,query that generated the escalation, answers to a set of questions,entire log, phone number or other contact information (e.g., E-mailaddress, mobile text address, etc). An illustrativecustomer-conversational agent (CA) interaction is set forth below:

-   -   CA: How can I help you?    -   Customer: I'm having trouble logging in.    -   CA: what kind of trouble are you having?        -   1) You lost your user ID or password        -   2) You are having trouble connecting to the Internet.        -   3) . . .        -   4) . . .    -   Customer: I lost my password.    -   CA: We can have someone contact you to help you out with that.    -   Would you like someone to call you to help?    -   Customer: Sure. That would be excellent.    -   CA: What is your phone number?    -   Customer: It's 212.555.4587    -   CA: We'll have one of our online security experts call you in        about 4 minutes.    -   Customer: thanks. I'll be waiting by the phone.

In the above dialog, the conversational agent obtained a telephonenumber at which to contact the customer. Note that in the above, a liveagent within a group of security experts was selected based upon thesubject matter of the customer input.

In the illustrative dialog above, after the subject matter area(security) was identified by the conversational agent, a call centerqueue in the online security area was queried and provided a wait of 4minutes. This variable was conversationally passed to the customer,adding a level of satisfaction to the experience by alleviating thetypical hold-time ‘panic’ associated with known customer service models.With this arrangement, the dynamic of how customers are served ischanged from conventional link lists and unknown queue times togracefully serving client needs with attention to their time needs. Thisis in contrast to traditional company models where customers are forcedto push buttons for navigating to the appropriate call-center area, thenwaiting an unknown time for a call center representative.

As set forth below, the customer can be offered a plurality ofescalation options:

-   -   CA: How can I help you?    -   Customer: I'm having trouble logging in.    -   CA: what kind of trouble are you having?        -   1) You lost your user ID or password        -   2) You are having trouble connecting to the Internet.        -   3) . . .        -   4) . . .    -   Customer: I lost my password.    -   CA: We can have someone contact you to help you out with that.    -   How would you like us to contact you?        -   1) by phone        -   2) by email        -   3) by Instant Message        -   4) by mobile text message    -   Choose a number from the list above, or just tell me how you        would like to be contacted.    -   Customer: send me a text message.    -   CA: What is your mobile number?    -   Customer: It's 917.555.4587    -   CA: We'll have one of our online security experts text you in        about 4 minutes.    -   Customer: thanks.    -   CA: We're glad to be of service

In one embodiment, prior to the transfer of the customer to the liveagent, or at the time of the transfer of the customer to the live agent,the live agent may be provided with at least a portion of the transcriptof the conversation that has transpired between the conversational agentand the customer. The live agent can also receive existing log-ininformation and pass any information resident in a corporate database ofuser accounts, for example, into the call center, to speed ability of alive agent to solve the problem. A record of the case, which can includea transcript, can be made and associated with the user's account.

Referring again to FIG. 1, the system 100 includes at least one server104, a first client 108 operated by a customer, and optionally a secondclient 110 operated by a live agent. The clients 108, 110 are preferablyimplemented as software running on personal computers (e.g., a PC withan INTEL processor or an APPLE MACINTOSH) capable of running suchoperating systems as the MICROSOFT WINDOWS family of operating systemsfrom Microsoft Corporation of Redmond, Wash., the MACINTOSH operatingsystem from Apple Computer of Cupertino, Calif., and various varietiesof Unix, such as SUN SOLARIS from SUN MICROSYSTEMS, and Linux from REDHAT, INC. of Durham, N.C. (and others). The clients 108, 110 could alsobe implemented on such hardware as a smart or dumb terminal, networkcomputer, personal data assistant, wireless device, informationappliance, workstation, minicomputer, mainframe computer, or othercomputing device that is operated as a general purpose computer or aspecial purpose hardware device solely used for serving as a client 108,110 in the system 100.

In an exemplary embodiment, the client 108 is operated by a customer ofthe system 100 to send queries over a network 112 and to receiveinformation from the conversational agent or a live agent in response tothe queries. The client computer 108 includes client applications 122.One example of a client application 122 is a web browser applicationthat allows the client 108 to request a web page (e.g. from the server104) with a web page request. An example of a web page is a data filethat includes computer executable or interpretable information,graphics, sound, text, and/or video, that can be displayed, executed,played, processed, streamed, and/or stored and that can contain links,or pointers, to other web pages. In one embodiment, a customer using theclient 108 manually requests a web page from the server 104.Alternatively, the client 108 automatically makes requests with the webbrowser. In another embodiment, the client 108 automatically makesrequests via mechanisms other than web protocols. Examples ofcommercially available web browser software are INTERNET EXPLORER,offered by Microsoft Corporation of Redmond, Wash., and NETSCAPENAVIGATOR, offered by AOL/Time Warner of Mountain View, Calif. The webbrowser is one possible example of a client application 122, and othersmay include word processors, spreadsheets, operating system extensions,email clients, instant messaging clients, custom applications, as wellas others.

A communications network 112 connects the client 108 with the server 104and optionally the second client 110 that is operated by a live agent.The communication may take place via any media such as standardtelephone lines, LAN or WAN links (e.g., T1, T3, 56 kb, X.25), broadbandconnections (ISDN, Frame Relay, ATM), wireless links, and so on.Preferably, the network 112 can carry TCP/IP protocol communications,and HTTP/HTTPS requests made by the web browser. The type of network 112is not a limitation, however, and any suitable network 112 may be used.Typical examples of networks 112 that can serve as the communicationsnetwork 112 include a wireless or wired ethernet-based intranet, a localor wide-area network (LAN or WAN), and/or the global communicationsnetwork known as the Internet, which may accommodate many differentcommunications media and protocols.

An administrator operates a central server 104, which interacts withclients 108, 110. The server 104 is preferably implemented on one ormore server class computers that have sufficient memory, data storage,and processing power and that run a server class operating system (e.g.SUN Solaris, Linux, MICROSOFT WINDOWS 2000, or other such operatingsystem). Other types of system hardware and software than that describedhere could also be used, depending on the capacity of the device and thenumber of customers and the amount of data received. For example, theserver 104 may be part of a server farm or server network, which is alogical group of one or more servers. As another example, there could bemultiple servers 104 that may be associated or connected with eachother, or multiple servers could operate independently, but with shareddata. As is typical in large-scale systems, application software couldbe implemented in components, with different components running ondifferent server computers, on the same server, or some combination.

With reference to FIG. 2, in one embodiment, the server 104 includes aclient messaging communication module 208 (the first module) that is theinterface for communication with clients 108, 110 involving HTTP/Srequests and responses, Java messages, SMTP messages, POP3 messages,instant messages, as well as other electronic messages. According to theinvention, the first module can send messages from the client 108, 110to the server 104, and from the server 104 to the client 108, 110 suchthat interactive communication is established. The client messagingcommunication module 208 can be implemented as software running on oneor more servers, or may be implemented as a stand-alone server.

The client messaging communication module 208 communicates with anapplication server 212, which provides the main programming logic forthe operation of the system 100. In one embodiment, the applicationserver 212 is implemented as one or more application programs, such as aconversational agent 228, running on a server class computer, which maybe the same or different computer as the client messaging communicationmodule 208. The application server 212 receives queries from thecustomer via the client messaging communication module 208. The querysent by the customer may consist of keywords or a so-called naturallanguage query in the form of sentences. For example, the customer mayenter the natural language query “How do I configure Outlook?” or thekeyword query “Configuration.”

With continued reference to FIG. 2, in one embodiment, when a query sentby the customer is received by the application server 212, theapplication server 212 compares the query received using a second moduleto a set of query strings pre-programmed in a third module, for example,the conversational agent 228. In another embodiment, the third modulecan be a database that stores pre-determined queries. Based on theresults of the comparison, the conversational agent 228 may either senda response to the customer, ask the customer to provide moreinformation, or escalate the customer to a live agent.

With continued reference to FIG. 2, in one embodiment, when a query sentby the customer is received by the application server 212, theapplication server 212 compares the query received using a second moduleto a set of query strings pre-programmed in a third module, for example,the conversational agent 228. In another embodiment, the third modulecan be a database that stores pre-determined queries. Based on theresults of the comparison, the conversational agent 228 may either senda response to the customer, ask the customer to provide moreinformation, or escalate the customer to a live agent.

In one embodiment of a server 104 that includes a database 220, when aquery is received by the application server 212, the conversationalagent 228 retrieves a list of related queries from the database 220, andevaluates the similarity of the query received to the queries stored inthe database using the second module. The conversational agent 228 thendetermines the most relevant query stored in the database 220, which maypoint the conversational agent 228 to another location in the database220 containing an appropriate response to the query. The conversationalagent 228 then retrieves the response from the database 220, andforwards the response to the customer via the first module. In thealternative, if the conversational agent 228 is unable to find amatching query in the database 220, the conversational agent 228 mayprompt the customer for more information, or may escalate the customerto a live agent as previously described. In general, the database 220can be used to store any information that was previously programmed intothe conversational agent 228.

FIG. 4 shows an exemplary embodiment having a call center 250 in which aplurality of live agents interact via clients 110 and the network 112with various user clients 108. The conversational agent 228, which canreside on the server 104, provides information for escalated cases tothe call center 250 for action by the live agents. The conversationalagent 228 can categorize cases and place them in corresponding queues252 a-N. Transcript (record), time stamp, reason, user ID, and otherinformation for the case or user can be stored in conjunction with thequeue entry. Information can be stored in the queue, database 220 orother suitable location.

It is understood that the location of the various components can vary tomeet the needs of a particular location. For example, while the callcenter is shown to be remote from the conversational agent 228, in otherembodiments the call center can be local to the application server 212and conversational agent. A wide variety of configurations are possiblewithout departing from the present invention as will be readily apparentto one of ordinary skill in the art.

The conversational agent interacts with the customer or user in anattempt to provide the information requested by the user. Theinformation sent by the user is examined by the conversational agent togenerate responses that satisfy the user and/or escalate the user to alive agent based upon predetermined criteria. It will be appreciatedthat the predetermined criteria can vary based upon a desired responseby the conversational agent.

As shown in FIG. 5A, if a customer asks “How do I configure Outlook?” inthe first portion 152 of the display, the conversational agent 228 mayreply “Which version of Outlook are you running?” in the second portion154 of the display and provide a list of supported versions, as shown inFIG. 5B. Once the customer enters the version, as shown in FIG. 5C, theconversational agent 228 can provide further pre-programmed responsesto, for instance, guide the customer through a product configuration, asshown in FIG. 5D. Depending upon the performance of the conversationalagent 228, some fraction of cases may be resolved satisfactorily by theconversational agent 228 alone.

In other instances, however, it may be desirable for a live agent toresolve the case after the customer has first interacted with theconversational agent 228. In one embodiment of the invention, theconversational agent 228 using the second module detects whether it can,by itself, resolve the customer case. When the conversational agent 228determines that it cannot by itself resolve the customer case, it mayescalate the customer to a live agent.

There are a variety of criteria that the conversational agent 228 canuse to determine whether it can resolve the customer case. For example,the customer may request to be escalated to a live agent by askingsomething like “Can I talk to somebody real?” When the conversationalagent 228 receives this query from the customer, the computer programcan be coded to escalate the customer to a live agent. In oneembodiment, the conversational agent can be programmed to make it harderor easier to contact a live agent.

In an exemplary embodiment, after determining that the case should beescalated to a live agent, the conversational agent can first ask thecustomer a number of questions (e.g., location, product ID, etc.) beforeescalating to the live agent. The obtained information can be passed tothe live agent. It is understood that the set of questions can bedifferent depending upon the reason for escalation. For example, forinquiries on a currently discounted trip to Spain, the line of inquirymight be date of departure, number of travelers, etc. Similarly, for apassword issue questions may include username, account number, etc.

As another example, the customer may express frustration when conversingwith the conversational agent 228. For instance, the customer might typein “I hate talking to a computer.” In this situation, the conversationalagent 228 can be configured to escalate the customer to a live agent.

As another example of a case where the conversational agent 228 mayescalate the customer to a live agent, the customer may type in “What'sthe price of tea in China?” In this case, when the customer query failsto match existing knowledge stored in the third module, a live agent maybe summoned to assist the customer. As another example, the customerasks, “How many minutes do I have left on my long distance phone card?”If the conversational agent is unable to attain this information, theconversational agent may inform the customer that account information isnot yet available and may further determine to escalate the customer toa live agent.

Another situation in which the customer query may be escalated to a liveagent occurs when the customer provides queries to the conversationalagent 228 that fit a detectable pattern of repetition. For instance, thecustomer may type in the same, or substantially similar, question apredetermined times in a row, may hit the return carriage in frustrationseveral times, or hold down a key, etc. Upon detection of suchfrustration-related user input, the conversational agent can determinethat the user case should be escalated to a live agent.

It should be understood that there are many patterns that can bepre-programmed into the conversational agent 228 that result in thecustomer being escalated to a live agent. For example, any combinationof the above examples may cause the conversational agent 228 todetermine that it is unable, by itself, to resolve the case. In anotherembodiment, a customer may be escalated to a live agent if the caserelates to a topic area that is deemed to be sufficiently important tobe handled by a live agent. For instance, if a customer asks “what arethe fifteen-year fixed mortgage rates?”, the customer can be escalatedto a live agent who can better assist him. Or a customer may ask about acurrently discounted travel package. Thus, certain topics may be givepriority for escalation to a live agent.

With further reference to FIG. 1, also shown in the system 100 is a liveagent. The live agent may be located, for instance, in a call center asdescribed above. The live agent may be in communication with the server104 over the same network 112 as the customer or over a differentnetwork. When it is determined that the conversational agent 228 isunable, by itself, to resolve the case, the conversational agent 228 mayescalate the customer to the live agent by sending a communication tothe live agent indicating that the services of the live agent arerequired. As part of the communication provided to the live agent, theconversational agent 228 may send a copy of the communication that hastranspired between the conversational agent 228 and the customer, aswill be described.

A customer can be escalated to a live agent in a variety of ways. Forinstance, a link to the live agent can be provided to the customer bythe conversational agent 228. Alternatively, the email address of thelive agent can be provided, or the live agent's telephone number. When acustomer is escalated to a live agent, a live agent communicates withthe customer to help resolve the customer's query. The escalation of thecustomer to the live agent may result in the live agent taking over forthe conversational agent 228 to resolve the customer's case.

In an alternative embodiment, the live agent may join the conversationwith the customer as a third party. For example, the customer and theconversational agent 228 are the first two parties, conversing in a textchannel over the network 112, and the live agent is added as a thirdparty to the text channel. The communications sent by any of the threerecipients may be presented to the other two participants.Alternatively, when the customer enters a query, the conversationalagent 228 may propose a response to the query to the live agent, but notthe customer. The live agent can then evaluate whether to send theproposed response of the conversational agent 228 to the customer, orgenerate a different response to address the customer's query.

In another embodiment, in response to a customer query, theconversational agent 228 may forward a database link to the live agent.For example, if the customer asks “what are current long term mortgagerates?” the conversational agent 228 may direct the live agent to adatabase entry or to a web page containing data on current mortgagerates so that the live agent can better resolve the customer's case. Ingeneral, the conversational agent 228 can be programmed to point thelive agent to any reference deemed relevant to resolving the customer'scase.

As illustrated in FIG. 1 by the dashed line, in other embodiments, thelive agent converses with the customer over an external network, such asa telephone, rather than through the network 112. For instance, when theconversational agent 228 determines that the customer should beescalated to a live agent, the conversational agent 228 presents acustomer service telephone number to the customer. The customer thendials the phone number, waits in the queue, and talks with the liveagent. Alternatively, the customer is provided with the current waittime to speak with a live agent, and is instructed to contact the liveagent after a given period of time has lapsed, thereby limiting the waittime of the customer on the telephone. As an alternative, when theconversational agent 228 determines that escalation is appropriate, theconversational agent 228 prompts the customer to provide their contactinformation, for instance, their telephone number. The customer is thentold by the conversational agent 228 that a live agent will contact themas soon as they are available to help resolve their query, enabling thecustomer to complete other tasks while they wait to converse with a liveagent.

In another embodiment, the conversational agent 228 can present a choiceof escalation methods to the customer, as well as information that mayhelp the customer make a decision which escalation method best meetstheir needs. As one example, the information presented to the customermay include expected wait time. The expected wait time may include thetime necessary for the live agent to familiarize himself with the case,including the time to read the session transcript, as will be furtherdescribed.

It is understood that the term escalation should be construed broadly toinclude offers of escalation to a user, in any suitable communicationmedium, as well as automatic escalation. For example, if aconversational agent is unable to resolve a case, for selected topics,e.g., trip to Spain, the conversational agent may inform the user thatthe case has been escalated and that a live agent will be contacting theuser. The conversational agent communicates with a call center, forexample, to inform the call center that a user should be contacted assoon as possible for the given topic. If the conversational agent canobtain a telephone number from a database for the user, theconversational agent can inform the user that a live agent will call theuser at the previously provided telephone number, or other communicationaddress. The user can optionally be given a chance to say ‘no’ to theescalation.

When escalating the customer, the conversational agent 228 may determinea service category that is required, and escalate the customer to a liveagent that is competent to address queries falling into that category.For instance, the conversational agent 228 may determine that a customerneeds to communicate with a live agent in the Cable TV department ratherthan a live agent in the Cable Modem department, and can appropriatelyescalate the customer. Separate queues can be generated for the variouscategories.

As referred to above, when the conversational agent 228 escalates thecustomer to a live agent, a session transcript that may contain the textof the entire interaction between the customer and the conversationalagent may be forwarded to the live agent. As an alternative, thecustomer can select which portion of the transcript will be forwarded tothe live agent. The transcript is created by the conversational agent228 in a fourth module at the time the customer enters their first queryand thereafter records all communications between the conversationalagent 228 and the customer. The transcript may be studied by the liveagent prior to conversing with the customer, thereby eliminating theneed of the live agent to repeat questions already posed to thecustomer. By avoiding repetition, the live agent can more quickly cometo understand the query, and can more quickly resolve it, therebyreducing customer frustration, and also reducing service costs. Inaddition to obtaining a transcript of the conversation between theconversational agent 228 and the customer, the live agent can beprovided with other information such as the length of time the customerhas been conversing with the conversational agent 228, and transcriptsfrom sessions that may have occurred prior to the current session.

FIG. 6 shows an exemplary screen display 300 for a live agent afterescalation. The display 300 includes a queue 302 of customers that havehad cases escalated. In one embodiment, a table is provided havingrespective columns for action 304 a, date 304 b, reason for escalation304 c, number of messages 304 d, and customer request or query 304 e.The conversational agent has categorized each escalated case asindicated in the reason column 304 c. For example, user queriesregarding a currently discounted trip to Spain will be categorized as“Spain package” in the reason column 304 d. A travel company, forexample, may want to escalate ‘Spain’ inquiries to a live agentimmediately if interaction with a live agent will increase thelikelihood of a generating a trip booking. Password issues can becategorized as “security.” Issues relating to rising customer irritationcan be categorized as “frustration,” for example.

For a selected case, the display 300 can also include a region 306 tocontain a transcript of the interaction between a customer and theconversational agent. The transcript can include contact informationobtained from the client. In cases where the customer is known, adatabase can be queried to pull up customer information for display.

It is understood that the entity providing the conversational agent candesignate a wide variety of criteria for queuing escalated cases to behandled by the live agents. For example, potential sales, such as the“Spain package” can be placed higher in a queue than security cases. Inone embodiment, a live agent can select which case to address based upondirections from a supervisor.

In addition to informing the live agent of the conversation between thecustomer and the conversational agent 228 that has already transpired,the transcripts are useful for other purposes as well. For instance, thesession transcripts can be examined to determine how to improve theconversational agent 228. When a transcript shows relevant questionsthat the conversational agent 228 has been unable to answer, forexample, because the conversational agent knows that it is unable toanswer the question, or because the conversational agent has providedthe wrong answer to the customer, the conversational agent 228 may beupdated to better address those questions in the future, therebygenerating cost savings. By continuously updating the conversationalagent 228, the conversational agent 228 becomes more adept atsuccessfully responding to customer queries.

In another embodiment, each case can be logged and tracked to determine,for example, number of escalations. Calculated information can bepresented to an entity providing the conversational agent as raw data,percentage of total sessions escalated, escalation by topic area, andthe like.

Similarly, the transcripts can be evaluated to determine how to expandthe scope of the conversational agent 228. If transcripts frequentlyshow questions that were originally considered to be outside the scopeof relevance, the company may decide to expand the scope of theconversational agent 228 to address these questions. Similarly, if it isdetermined that customers become frustrated with a response frequentlyprovided by the conversational agent 228, the response can be altered tobe more customer friendly. In general, the transcripts provide feedbackthat can be used to continuously update the conversational agent 228,thereby reducing the number of cases that need to be forwarded to a liveagent, and also the time required by the live agent to resolve thecustomer's query with cost savings to the company.

While the invention is primarily shown and described as having textualinteraction between a user and a conversational agent, it is understoodthat voice can be used instead of typed text. The voice, which can tracktext responses as described above, can be provided via Voice Over IP(VoIP), telephone, and the like. Devices and techniques for providingvoice interaction are well known to one of ordinary skill in the art. Inaddition, while in exemplary embodiments the term query may be usedsince a user is typically at least initially requesting some type ofinformation, it is understood that query should be construed broadly toinclude any type of message or input.

The exemplary system method embodiments outlined above are advantageousfor a variety of reasons. For instance, the customer can pose a relevantquestion to the conversational agent 228 and receive in return arelevant answer. Unlike graphical user interface alternatives, forexample, in the system of the current invention, there is no need tonavigate through layers of links, and there is no need to evaluate alist of potentially useless responses to see if any are appropriate.Further, the system of the present invention is interactive; when acustomer's request needs refinement, the conversational agent 228 isprogrammed to ask follow-up questions. This contrasts with a graphicaluser interface setup where generally interactive conversation isunavailable. Compared to traditional call centers, the current inventionalso reduces overhead expenses associated with responding to customerqueries by reducing the number of customer interactions with liveagents, and also the duration of the interactions.

One skilled in the art will appreciate further features and advantagesof the invention based on the above-described embodiments. Accordingly,the invention is not to be limited by what has been particularly shownand described, except as indicated by the appended claims. Allpublications and references cited herein are expressly incorporatedherein by reference in their entirety.

1. A method performed by an automated service agent, comprising:receiving a first textual message containing a first query from a firstclient associated with a user; initiating a case record responsive tothe first textual message; determining a response to the first textualmessage; providing the response to the first client; receiving a secondtextual message containing a second query from the first client;determining transferring the case record to a live agent if the secondquery substantially matches the first query; and transferring the caserecord to the live agent responsive to said determination.
 2. The methodaccording to claim 1, wherein providing the response comprises providingconversational responses to the user.
 3. The method according to claim1, wherein transferring the case record includes offering the usercommunication with a live agent.
 4. The method according to claim 3,wherein the offer of communication includes one or more of telephone,instant messaging, and Internet chat.
 5. The method according to claim4, wherein the offer of communication includes a request for contactinformation for the user.
 6. The method according to claim 4, whereinthe offer of communication includes providing contact information forthe live agent.
 7. The method according to claim 1, wherein transferringthe case record includes generating a communication for the live agentindicating that the live agent should contact the user.
 8. The methodaccording to claim 7, wherein transferring the case record includesproviding an indication to the user, via the first client, that the liveagent will contact the user at a given telephone number.
 9. The methodaccording to claim 1, further including storing the case record andproviding the case record to the live agent.
 10. The method according toclaim 1, further comprising retrieving a list of related queries storedin a database, each related query associated with a response.
 11. Themethod according to claim 10, wherein determining the response to thefirst textual message includes evaluating a similarity between the firstquery contained in the first textual message and each of the relatedqueries retrieved from the database.
 12. The method according to claim11, wherein providing the response to the first client includesproviding a response associated with a related query most similar to thefirst query contained in the first textual message.
 13. The methodaccording to claim 1, further comprising initiating a session betweenthe first client and the automated service agent.
 14. The methodaccording to claim 1, further including sending a communicationaddressed to a call center indicating that the case record has beentransferred.
 15. The method according to claim 1, further includingcategorizing the case record into a first one of a plurality ofpredetermined categories.
 16. The method according to claim 15, furtherincluding: generating a queue associated with the first one of theplurality of predetermined categories; and placing the case record intothe queue associated with the first one of the plurality ofpredetermined categories.
 17. The method according to claim 16, furtherincluding requesting queue information associated with the queue for thefirst one of the plurality of predetermined categories, wherein thequeue information includes an estimated wait time for the live agent.18. The method according to claim 1, further including proposing aresponse to the first query to the live agent, the live agent selectingbetween sending the proposed response to the user and generating adifferent response to address the first query.
 19. A conversationalagent having stored thereon computer instructions, that when executed,perform a method, comprising: receiving a first textual messagecontaining a first query from a user; determining a response to thefirst query by evaluating a similarity between the first query containedin the first textual message and one or more queries stored in adatabase; providing a response associated with the most similar querystored in the database to the user; receiving a second textual messagecontaining a second query; determining escalating the user to a liveagent if the second query substantially matches the first query; andescalating the user to the live agent upon said determination.
 20. Asystem comprising: a first module associated with the system, receivinga first textual message containing a first query from a customer engagedin a conversation with a conversational agent; a second moduleassociated with the system, storing predetermined responses foranswering the first query contained in the first textual messagereceived from the customer; a third module associated with the system,determining automatically transferring the customer from theconversational agent to a live agent responsive to receiving asubsequent textual message containing a second query that substantiallymatches the first query from the customer.